CN109217367A - Wind-power electricity generation prediction technique, device and equipment - Google Patents
Wind-power electricity generation prediction technique, device and equipment Download PDFInfo
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Abstract
The present invention provides a kind of wind-power electricity generation prediction technique, device and equipment, belong to power generation electric powder prediction.The embodiment of the invention provides wind-power electricity generation prediction techniques, device and equipment, cross the meteorological numerical value of timing acquisition tested point, and wind data is extracted from the meteorological numerical value of tested point, then wind data is handled, so that wind data is converted into multiple class data, the calculating factor of the tested point is obtained again, and it combines and calculates the factor, multiple class data are handled, determine correction wind-force numerical value, finally according to the generated output of correction wind-force numerical prediction tested point, it is capable of the output power of the wind power plant of Accurate Prediction long period, improve the accuracy of dispatching of power netwoks task distribution.
Description
Technical field
The present invention relates to power generation electric powder predictions, in particular to a kind of wind-power electricity generation prediction technique, device and set
It is standby.
Background technique
In recent years, energy-saving and emission-reduction, green energy resource, development low-carbon economy, sustainable development become various countries' focus of attention, clearly
The clean energy and renewable energy specific gravity shared in various countries' energy are more and more, and especially wind energy has become Developing speed
Occupy the first energy.The motive power of wind-power electricity generation is wind energy, and wind energy has stronger randomness and fluctuation, so that access
Violent wave characteristic is presented in the wind-powered electricity generation of power grid.
Currently, influencing to reduce wind-electricity integration to system bring, look-ahead wind power plant wind power, wind-powered electricity generation are needed
There are two types of power forecasting methods, the first is the output power of direct prediction wind power plant, needs each wind-force in Large Scale Wind Farm Integration
The voltage and current data of generator, for example, each wind-driven generator is regarded as one " data acquisition device ", in this way whole
In the generated power forecasting model of a wind power plant, input time series data included information more comprehensively, it is more acurrate, but
It is that the time that this method is predicted is shorter, is not suitable for daily forecast；Second method is predicted wind speed, then according to wind
The power curve of motor group or wind power plant obtains wind power output, and this method uses statistical models.Currently, statistics mould
Type prediction technique mainly has Kalman filtering method, Random time sequence method, fuzzy logic method, Artificial Neural Network
(artificial neural networks, ANN), Mixture of expert empirical method (mixture of experts ME), arest neighbors
Search for (nearest neighbour search, NNS), ant group optimization (particle swarm optimization, PSO)
With support vector machines (support vector machines, SVM) etc..Using these algorithms, wind speed variation can not be considered
Physical process, and the relationship of weather conditions and output of wind electric field is found out according to historical statistical data, then according to measured data and
The data of numerical weather forecast (NWP) predict wind farm data power, but this method is for the wind that shifts to an earlier date 3-4 hours
Electrical power prediction result can satisfy required precision, but the prediction result for shifting to an earlier date the longer time, and precision is less accurate,
Therefore dispatching of power netwoks task can not accurately be carried out.
Summary of the invention
Short-term prediction can only be adapted to for above-mentioned wind-power electricity generation prediction technique existing in the prior art, but for longer
The problem of precision of prediction of time is less accurate, can not accurately carry out dispatching of power netwoks task, the present invention provides a kind of wind-force hairs
Electric prediction technique, device and equipment can accurately predict the wind-power electricity generation power of long period, can be improved the accurate of prediction
Degree, while can accurately carry out dispatching of power netwoks task distribution.
In a first aspect, the embodiment of the invention provides a kind of wind-power electricity generation prediction techniques, wherein include: that timing acquisition waits for
The meteorological numerical value of measuring point；
Wind data is extracted from the meteorological numerical value of the tested point, and the wind data is handled, so that institute
It states wind data and is converted into multiple class data；
Obtain the calculating factor of the tested point；
In conjunction with the calculating factor, the multiple class data are handled, determine correction wind-force numerical value；
According to the generated output of tested point described in the correction wind-force numerical prediction.
With reference to first aspect, the embodiment of the invention provides the first possible embodiments of first aspect, wherein institute
The step of stating the meteorological numerical value of timing acquisition tested point, comprising:
By the first weather information on meteorological observatory's webpage of Internet timing acquisition tested point, and by described first
Weather information is displayed on the screen；
The first weather information being displayed on the screen by power system network timed shooting, and first meteorology is believed
Breath is converted into the meteorological numerical value of tested point.
The possible embodiment of with reference to first aspect the first, the embodiment of the invention provides second of first aspect
Possible embodiment, wherein first weather information being displayed on the screen by power system network timed shooting, and
Convert first weather information to the method for the meteorological numerical value of tested point, comprising:
First weather information is converted to the meteorological number of tested point using technique of image edge detection and identification technology
Value.
With reference to first aspect, the embodiment of the invention provides the third possible embodiments of first aspect, wherein obtains
The step of taking the calculating factor of the tested point, comprising:
Pass through second on meteorological observatory's webpage of the East, West, South, North four direction of Internet timing acquisition tested point
Weather information, and second weather information is displayed on the screen；
The second weather information being displayed on the screen by power system network timed shooting, and second meteorology is believed
Breath is as the calculating factor.
With reference to first aspect, the embodiment of the invention provides the 4th kind of possible embodiments of first aspect, wherein root
The step of according to the generated output for correcting tested point described in wind-force numerical prediction, comprising:
Per day generated energy corresponding with the correction wind-force numerical value is found out from pre-set high-volume database；
The generated output of the tested point is predicted according to the per day generated energy.
The possible embodiment of with reference to first aspect the first, the embodiment of the invention provides the 5th kind of first aspect
Possible embodiment, wherein meteorological by first on meteorological observatory's webpage of the Internet timing acquisition tested point
The frequency of information is equal to the frequency for the first weather information being displayed on the screen by the power system network timed shooting.
The possible embodiment of with reference to first aspect the first, the embodiment of the invention provides the 6th kind of first aspect
Possible embodiment, wherein the starting time phase difference of the starting time and the Internet of the power system network
One hour.
Second aspect, the embodiment of the invention also provides a kind of wind-power electricity generation prediction meanss, wherein includes:
First obtains module, the meteorological numerical value for timing acquisition tested point；
First conversion module, for extracting wind data from the meteorological numerical value of the tested point, and to the wind-force number
According to being handled, so that the wind data is converted into multiple class data；
Second obtains module, for obtaining the calculating factor of the tested point；
Determining module determines correction wind-force number for handling the multiple class data in conjunction with the calculating factor
Value；
Prediction module, the generated output for the tested point according to the correction wind-force numerical prediction.
In conjunction with second aspect, the embodiment of the invention provides the first possible embodiments of second aspect, wherein institute
State device further include:
Second conversion module, for being converted first weather information by technique of image edge detection and identification technology
For meteorological numerical value.
The third aspect, the embodiment of the invention also provides a kind of pre- measurement equipments of wind-power electricity generation, wherein include: memory with
And processor, the memory are used to store and processor are supported to execute the program of any one the method for first aspect, institute
Processor is stated to be configurable for executing the program stored in the memory.
The embodiment of the present invention bring it is following the utility model has the advantages that
Wind-power electricity generation prediction technique, device and equipment provided in an embodiment of the present invention, pass through the gas of timing acquisition tested point
Wind data is extracted as numerical value, and from the meteorological numerical value of tested point, then wind data is handled, so that wind data
Multiple class data are converted into, then obtain the calculating factor of the tested point, and combines and calculates the factor, at multiple class data
Reason, determine correction wind-force numerical value, finally according to correction wind-force numerical prediction tested point generated output, can Accurate Prediction it is longer
The output power of the wind power plant of time improves the accuracy of dispatching of power netwoks task distribution.
Other features and advantages of the present invention will illustrate in the following description, also, partly become from specification
It obtains it is clear that understand through the implementation of the invention.The objectives and other advantages of the invention are in specification, claims
And specifically noted structure is achieved and obtained in attached drawing.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, preferred embodiment is cited below particularly, and cooperate
Appended attached drawing, is described in detail below.
Detailed description of the invention
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art be briefly described, it should be apparent that, it is described below
Attached drawing is some embodiments of the present invention, for those of ordinary skill in the art, before not making the creative labor
It puts, is also possible to obtain other drawings based on these drawings.
Fig. 1 is the flow chart of wind-power electricity generation prediction technique provided by one embodiment of the invention；
Fig. 2 is the schematic diagram of wind-power electricity generation prediction technique provided by one embodiment of the invention；
Fig. 3 is the module map of wind-power electricity generation prediction meanss provided by another embodiment of the present invention；
Fig. 4 is the structural block diagram of the pre- measurement equipment of wind-power electricity generation provided by one embodiment of the invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with attached drawing to the present invention
Technical solution be clearly and completely described, it is clear that described embodiments are some of the embodiments of the present invention, rather than
Whole embodiments.The component of embodiments of the present invention, which are generally described and illustrated herein in the accompanying drawings can be matched with a variety of different
It sets to arrange and design.Therefore, the detailed description of the embodiment of the present invention provided in the accompanying drawings is not intended to limit below
The range of claimed invention, but it is merely representative of selected embodiment of the invention.Based on the embodiments of the present invention, originally
Field those of ordinary skill every other embodiment obtained without making creative work, belongs to the present invention
The range of protection.
For existing wind-power electricity generation prediction technique, the prediction of the wind-power electricity generation power of short time can only be adapted to, but for
The precision of prediction of longer time is less accurate, and appearance can not accurately carry out dispatching of power netwoks task according to generated power forecasting
Problem, the embodiment of the invention provides a kind of wind-power electricity generation prediction technique, device and equipment, below first to wind-force of the invention
Power generation prediction method describes in detail.
Embodiment one
A kind of wind-power electricity generation prediction technique is present embodiments provided, as shown in Figure 1, this method comprises:
Step S102, the meteorological numerical value of timing acquisition tested point.
In order to guarantee the safety of power system network, pass through the meteorological observatory of Internet timing acquisition tested point first
The first weather information on webpage, and the first weather information is displayed on the screen, then clapped by power system network timing
The first weather information being displayed on the screen is taken the photograph, and converts the first weather information to the meteorological numerical value of tested point.
Specifically, the first weather information may include the wind-force, wind direction and wind speed of tested point, provide before the Central Meteorological Observatory
Three classes application development interface, every class interface export weather information with the JSON format of standard, are visited by every class interface timing
The application development interface for asking the Central Meteorological Observatory, analyzed from the JSON file of output tested point and the tested point east, south,
The Weather Forecast Information of west, north totally five measuring points.To obtain the first weather information, can be visited by interface corresponding with tested point
It asks the first weather information of tested point, and the first weather information is shown on a display screen in the form for encoding number, for example, will
Wind direction in first weather information is according to eight orientation: north, northeast, east, the southeast, south, southwest, west, northwest are classified, respectively
It is indicated with Arabic numerals 1,2,3,4,5,6,7,8, for another example, wind-force refers to the big of the strength shown in wind to object
It is small, generally according to various phenomenons generated on the object of wind to ground or the water surface, the size of wind-force is divided into 13 grades,
Minimum is 0 grade, is up to 12 grades.But under normal circumstances, 11 grades and 12 grades in the almost impossible generation in land, therefore land
The wind-force of upper appearance is generally mostly between 0-10 grades.
It is understood that being provided with filming apparatus on power system network, such as camera.Carrying out wind-power electricity generation
When, power system network start by set date camera, the weather information being displayed on screen is taken, and weather information is converted
For the meteorological numerical value of tested point.It should be noted that leading in order to ensure the weather information that Internet obtains will not be missed
It crosses Internet shooting and is displayed on the screen the timing frequency of weather information and be equal to meteorological observatory obtained by power system network
The timing frequency of weather information on webpage, but the starting time phase difference one of the starting time and Internet of power system network
A hour.
In order to obtain the meteorological numerical value of tested point, need to use technique of image edge detection and identification technology by weather information
Be converted to the meteorological numerical value of tested point.Specifically, the embodiment of the present invention handles image using Laplce's Gauss algorithm, that is, shows
Weather information on the screen.Gaussian filtering and Laplce's detective operators are combined together carry out edge detection by this method,
Its main thought and steps are as follows:
(1) it filters: first to the weather information being displayed on the screen, i.e., smothing filtering, selection being carried out to image f (x, y)
Filter function is as Gaussian function, it may be assumed that
Wherein, G (x, y) is a function with circular symmetry, and smooth effect is can be controlled by σ.By image G (x, y)
Convolution, an available smooth image are carried out with f (x, y), it may be assumed that
G (x, y)=f (x, y) * G (x, y)
(2) enhance: Laplace's operation carried out to smoothed image g (x, y), it may be assumed that
Wherein,Referred to as LOG filter, expression formula are as follows:
(3) detect: edge detection criterion is the zero cross point (point i.e.) of second dervative and corresponds to the larger of first derivative
Peak value.Gaussian filter and laplacian spectral radius filter are combined using Gauss-Laplace operator, first graduation
Fall noise, then carries out edge detection.
(4) identify: using number 0,1,2 ..., 9 and " " number thus have local edge to match each region having detected that
The boundary of object, to identify the number in image.Then above-mentioned weather information is turned using the number that these are identified
Change the meteorological numerical value of tested point into.
Step S104 extracts wind data from the meteorological numerical value of tested point, and handles wind data, so that wind
Force data is converted into multiple class data.
In order to improve the precision of calculating, before the output power for calculating wind power plant, the present embodiment uses K-means algorithm
K value is set, sample data is divided into multiple gradient datas.Specifically, using the K-means clustering algorithm in Mahout, pass through
The mode that K value is arranged improves the precision of sample data.For example, select wind-force for 0~10 grade of meteorological numerical value, k is taken 110, i.e.,
Sample data can be divided into 110 gradient datas that precision is 0.1.It therefore, can when carrying out the calculating of Power Output for Wind Power Field
To select all integers and fraction data in 0.1,0.2,0.3 ... 10.9 to calculate as sample data the output of the wind power plant
Power improves the accuracy of calculating.
Step S106 obtains the calculating factor of tested point.
As shown in Fig. 2, when computationally stating output power, it is contemplated that the measuring point in the area of all directions four direction is treated
The influence of measuring point, and the measuring point in this influence and the area of all directions four direction is to the distance dependent of tested point, therefore can be with
Wind-force is converted into corresponding wind speed, that is, the distance that air flows in the unit time, is indicated with meter per second.Wherein, 1 grade
The wind speed of wind is equal to 1 meter per second, and the wind speed of gentle breeze is equal to 2 meter per seconds.Add 1 on the wind scale of moderate breeze, wind speed is equal to 4 meter per seconds.4
2 are subtracted multiplied by 3 on series to 9 grades, just obtain the wind speed of appropriate level.10 to 12 grades of wind speed algorithm is: storm speed is
27 meter per seconds, on this basis plus 4 fast 31 meter per seconds of hurricane, then plus 4 fast 35 meter per seconds of typhoon, to obtain tested point
The calculating factor.
Step S108 is handled multiple class data in conjunction with the factor is calculated, and determines correction wind-force numerical value.
In particular it is required that extracting the calculating factor in sample data, weighted value is then calculated according to the calculating factor, further according to
Weighted value determines correction wind-force numerical value.Concrete thought is as follows:
(1) weighted value is calculated:Wherein x ∈ [e, s, w, n], i are i-th measurement,
wi,xFor wind speed, dxDistance of the measuring point to center measuring point for the four corners of the world apart from four direction area, ωi,eFor weighted value.
(2) output power is calculated:
Ai=ωi,e*(wi,e-wi)+ωi,s*(wi,s-wi)+ωi,w*(wi,w-wi)+ωi,n*(wi,n-wi)；
ki=wi*10+Mi, wherein AiFor output power value.But this calculating of wind-force is actually being obtained because of the period of the day from 11 p.m. to 1 a.m, east
Influence of measuring point of the southwestern northing from four direction area to center measuring point is difficult to more than 10, therefore each by calculating exports
Power expands the ten times greater accuracy for improving and calculating, that is, determines correction wind-force numerical value.
Step S110, according to the generated output of tested point described in correction wind-force numerical prediction.
In order to improve the precision of meteorological numerical statistic with the increase of statistical magnitude, and it is desirable that deposit 10 years
Or the meteorological numerical value of decades, and primary meteorological numerical value is deposited per hour, therefore distributed mass data processing technique is utilized, it uses
Hbase (PostgreSQL database distributed, towards column) is as the database for storing meteorological numerical value.Wherein, HBase is built upon
The platform for being used to store unstructured and semi-structured unstructured data on hdfs (Hadoop distributed file system), it is
A kind of Database Systems that high reliability, high-performance, column can be provided and store, is scalable, reading and writing in real time, between nosql (non-relationship
The database of type) and RDBMS (relational database management system) between, be only capable of the range by major key (row key) and major key
Data are retrieved, and only support uniline affairs.Meanwhile it can and Hadoop Seamless integration-, target rely primarily on it is extending transversely,
By being continuously increased cheap commercial server, to increase calculating and storage capacity, the correction wind-force numerical value that then will acquire with
Storage is to average generated energy comparison in cloth mass data, will average generated energy corresponding with correction wind-force numerical value as tested point
Output power.
The embodiment of the invention provides wind-power electricity generation prediction techniques, by the meteorological numerical value of timing acquisition tested point, then
Extract wind data from the meteorological numerical value of tested point, and wind data handled so that wind data be converted into it is multiple
Class data then obtain the calculating factor of tested point, and combine and calculate the factor, handle multiple class data, determine and rectify
Positive wind-force numerical value improves the accuracy of calculating, while energy finally according to the generated output of correction wind-force numerical prediction tested point
The output power of accurate prediction long period wind-power electricity generation, improves the accuracy of dispatching of power netwoks task distribution.
Embodiment two
With above method embodiment correspondingly, a kind of wind-power electricity generation prediction meanss are present embodiments provided, such as Fig. 3 institute
Show, which includes:
First obtains module 31, the meteorological numerical value for timing acquisition tested point.
First conversion module 32 is carried out for extracting wind data from the meteorological numerical value of tested point, and to wind data
Processing, so that wind data is converted into multiple class data.
Second obtains module 33, for obtaining the calculating factor of tested point.
Determining module 34 calculates the factor for combining, handles multiple class data, determines correction wind-force numerical value.
Prediction module 35, for the generated output according to correction wind-force numerical prediction tested point.
In an optional embodiment, the wind-power electricity generation prediction meanss further include: the second conversion module, for passing through image
Weather information is converted to the meteorological numerical value of tested point by edge detecting technology and identification technology.
The embodiment of the invention provides wind-power electricity generation prediction meanss, by the meteorological numerical value of timing acquisition tested point, then
Extract wind data from the meteorological numerical value of tested point, and wind data handled so that wind data be converted into it is multiple
Class data then obtain the calculating factor of tested point, and combine and calculate the factor, handle multiple class data, determine and rectify
Positive wind-force numerical value improves the accuracy of calculating, while energy finally according to the generated output of correction wind-force numerical prediction tested point
The output power of accurate prediction long period wind-power electricity generation, improves the accuracy of dispatching of power netwoks task distribution.
Embodiment three
On the basis of above-described embodiment, the embodiment of the present disclosure provides a kind of pre- measurement equipment of wind-power electricity generation, such as Fig. 4 institute
Show, which includes: processor 41, memory 42, display unit 44, camera 45, and the pre- measurement equipment of the wind-power electricity generation
Each unit module be attached by bus 43.Wherein, memory 42 can be used for storing software program and module, such as
Corresponding program instruction/the module of wind-power electricity generation prediction meanss and processor 41 in the embodiment of the present invention pass through operation storage
In the software program and module of memory 42, and to display unit 44 show data and camera 45 obtain data into
Row storage, thereby executing corresponding various function application and data processing, such as wind-power electricity generation provided in an embodiment of the present invention is pre-
Survey method, memory 42 can mainly include storing program area and storage data area, wherein storing program area can store operation system
Application program (the wind-power electricity generation prediction technique of such as embodiment of the present invention) needed for system, at least one function；Storage data area
It can store and created data (such as weather information/meteorology numerical value) etc. are used according to the pre- measurement equipment of wind-power electricity generation.In addition, depositing
Reservoir 42 may include high-speed random access memory, can also include nonvolatile memory, and a for example, at least disk is deposited
Memory device, flush memory device or other volatile solid-state parts.
Processor 41 is the control centre of the pre- measurement equipment of the wind-power electricity generation, utilizes various interfaces and connection whole equipment
Various pieces, by running or execute the software program and/or module that are stored in memory 42, and call and be stored in
Data in reservoir 42 perform various functions and handle data, to carry out integral monitoring to the pre- measurement equipment of wind-power electricity generation.It is optional
, processor 41 may include one or more processing units.
Display unit 44, the weather information for obtaining Internet are shown in digitally encoded form.
Camera 45, can weather information on timed shooting display unit 44, optionally, power system network can be set
Set one or more cameras 45, multiple cameras 45 can repeatedly shoot above-mentioned weather information, and by the weather information of shooting
It stores in database.
Bus 43 connects the modules unit of the pre- measurement equipment of the wind-power electricity generation, the control for issuing to processor 41
Command information, and the information that memory 42 stores is transferred to processor 41, further, it is also possible to the number that camera 45 is obtained
According to and display unit 44 show data be sent to processor 41.
The pre- measurement equipment of wind-power electricity generation provided in an embodiment of the present invention may also include than shown in Fig. 4 more or less groups
Part, or with the configuration different from shown in Fig. 4.Each component shown in Fig. 4 can be real using hardware, software, or its combination
It is existing.
Wind-power electricity generation prediction technique, device and equipment technical characteristic having the same provided in an embodiment of the present invention, so
Also it can solve identical technical problem, reach identical technical effect.
It should be noted that in embodiment provided by the present invention, it should be understood that disclosed system and method, it can
To realize by another way.The apparatus embodiments described above are merely exemplary, for example, the unit is drawn
Point, only a kind of logical function partition, there may be another division manner in actual implementation, in another example, multiple units or group
Part can be combined or can be integrated into another system, or some features can be ignored or not executed.It is described to be used as separation unit
The unit that part illustrates may or may not be physically separated, and component shown as a unit can be or can also
Not to be physical unit, it can it is in one place, or may be distributed over multiple network units.It can be according to reality
Needs some or all of the units may be selected to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in embodiment provided by the invention can integrate in one processing unit, it can also
To be that each unit physically exists alone, can also be integrated in one unit with two or more units.
It, can be with if the function is realized in the form of SFU software functional unit and when sold or used as an independent product
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, server or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.
And storage medium above-mentioned includes: that USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
The various media that can store program code such as reservoir (RAM, Random Access Memory), magnetic or disk.
In addition, term " first ", " second ", " third " are used for description purposes only, it is not understood to indicate or imply phase
To importance.
Finally, it should be noted that embodiment described above, only a specific embodiment of the invention, to illustrate the present invention
Technical solution, rather than its limitations, scope of protection of the present invention is not limited thereto, although with reference to the foregoing embodiments to this hair
It is bright to be described in detail, those skilled in the art should understand that: anyone skilled in the art
In the technical scope disclosed by the present invention, it can still modify to technical solution documented by previous embodiment or can be light
It is readily conceivable that variation or equivalent replacement of some of the technical features；And these modifications, variation or replacement, do not make
The essence of corresponding technical solution is detached from the spirit and scope of technical solution of the embodiment of the present invention, should all cover in protection of the invention
Within the scope of.Therefore, protection scope of the present invention should be based on the protection scope of the described claims.
Claims (10)
1. a kind of wind-power electricity generation prediction technique characterized by comprising
The meteorological numerical value of timing acquisition tested point；
Wind data is extracted from the meteorological numerical value of the tested point, and the wind data is handled, so that the wind
Force data is converted into multiple class data；
Obtain the calculating factor of the tested point；
In conjunction with the calculating factor, the multiple class data are handled, determine correction wind-force numerical value；
According to the generated output of tested point described in the correction wind-force numerical prediction.
2. the method according to claim 1, wherein the step of meteorological numerical value of the timing acquisition tested point,
Include:
By the first weather information on meteorological observatory's webpage of Internet timing acquisition tested point, and it is meteorological by described first
Information is displayed on the screen；
The first weather information being displayed on the screen by power system network timed shooting, and first weather information is turned
Turn to the meteorological numerical value of tested point.
3. according to the method described in claim 2, it is characterized in that, described be shown in screen by power system network timed shooting
The first weather information on curtain, and the method for converting first weather information to the meteorological numerical value of tested point, comprising:
First weather information is converted to the meteorological numerical value of tested point using technique of image edge detection and identification technology.
4. the method according to claim 1, wherein the step of obtaining the calculating factor of the tested point, comprising:
It is meteorological by second on meteorological observatory's webpage of the East, West, South, North four direction of Internet timing acquisition tested point
Information, and second weather information is displayed on the screen；
The second weather information being displayed on the screen by power system network timed shooting, and second weather information is made
To calculate the factor.
5. the method according to claim 1, wherein the tested point according to the correction wind-force numerical prediction
The step of generated output, comprising:
Per day generated energy corresponding with the correction wind-force numerical value is found out from pre-set high-volume database；
The generated output of the tested point is predicted according to the per day generated energy.
6. according to the method described in claim 2, it is characterized in that, the gas for passing through the Internet timing acquisition tested point
It is displayed on the screen as the frequency of the first weather information on platform webpage is equal to by the power system network timed shooting
The frequency of first weather information.
7. according to the method described in claim 2, it is characterized in that, the starting time of the power system network with it is described
One hour of starting time phase difference of Internet.
8. a kind of wind-power electricity generation prediction meanss characterized by comprising
First obtains module, the meteorological numerical value for timing acquisition tested point；
First conversion module, for extracting wind data from the meteorological numerical value of the tested point, and to the wind data into
Row processing, so that the wind data is converted into multiple class data；
Second obtains module, for obtaining the calculating factor of the tested point；
Determining module determines correction wind-force numerical value for handling the multiple class data in conjunction with the calculating factor；
Prediction module, the generated output for the tested point according to the correction wind-force numerical prediction.
9. device according to claim 8, which is characterized in that described device further include:
Second conversion module, for first weather information to be converted to gas by technique of image edge detection and identification technology
As numerical value.
10. a kind of pre- measurement equipment of wind-power electricity generation characterized by comprising memory and processor, the memory is for depositing
It stores up and processor perform claim is supported to require the program of any one of 1~7 the method, the processor is configured to for holding
The program stored in the row memory.
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